Instructions to use dimasik2987/814f19b2-e567-48bd-b878-462707019cfe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik2987/814f19b2-e567-48bd-b878-462707019cfe with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MLP-KTLim/llama-3-Korean-Bllossom-8B") model = PeftModel.from_pretrained(base_model, "dimasik2987/814f19b2-e567-48bd-b878-462707019cfe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fff572708a9851ec6456a0f00710a9b1916da63c20d11a3dd7cd004a1e8ed19
- Size of remote file:
- 671 MB
- SHA256:
- 573ee7bb685c2fe6162092fe0241899f30b6406b6ae0a07c8c7714cedd2d4ee1
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